More Performance per Watt for HPC & AI Data Centers

38% more throughput or 25% lower energy costs.

EAR (Energy Aware Runtime) is a smart energy management system that solves the power bottleneck of HPC and AI data centers in real time.

servers optimized

GPUs under management

MW of power managed

sites running EAR in production

Unlock More Performance Per Watt

As HPC and AI workloads grow, so does their energy demand. Data centers need smarter tools to gain efficiency, not just more hardware. EAR monitors, analyzes and dynamically optimizes your infrastructure in real time, connecting workloads, servers and cooling systems to gain energy you didn't know you had.

Our tools and features helps you unlock stranded capacity and is designed to achieve your goals:

EAR Job & System Analytics

• Power, Energy, CO2, Temperature at system and job level.
• CPU and GPU Performance metrics
• Hints for better resource utilization

EAR Optimizer

• Reduce Electricity Bill, OPEX, TCO and CO2.
• Increase Performance per Watt, up to 50% of energy gains
• Report energy saved and potential energy savings

EAR Smart Power Cap

• Maintain DC power/energy within a given limit.
• Maximize Performance under a power limit
• Eliminate power peaks

Turn Your Efficiency
Into a Competitive Advantage

Designed for AI factories and HPC data centers, EAR helps you:

☑️ Maximize throughput
☑️ Cut energy waste
☑️ Improve resource utilization
☑️ Get more work from existing hardware

How EAR Works

Designed for AI factories and HPC data centers, EAR helps you:

Holistic Monitoring: CPU, GPU, I/O, memory, cooling

Data Telemetry and analysis

Automatic Optimization: Up to 20% better performance per watt

Energy Hints & Manual Tuning: Reach up to a total of 50% energy savings

Smart Power Capping: Prevent overloads and power spikes

Visual Dashboards: Track energy and performance KPIs

Trusted by Industry Leaders

LRZ
SuperMUC-NG

SURF
Snellius

BSC
MareNostrum 5

EDF
CRONOS

"We are fully satisfied that EAR meets our goal and by the quality of professional services that EAS is delivering."

"This collaboration has opened new avenues for research on software-centric approaches for energy efficient computing. Policies for energy efficiency and sustainability of our infrastructures will have a big role to play in SURF's strategy in years to come. Hence this partnership is very valuable for us and our members"

"With more than 1 MW power consumption running HPL, EDF wanted to control and understand CRONOS energy consumption. We chose EAR software to analyze consumption by project, by code and by user. We are fully satisfied that EAR meets our goal and by the quality of professional services that EAS company is delivering".

Backed by Experts

EAR is a technological spin-off created jointly by the Barcelona Supercomputing Center (BSC) and the Universitat Politècnica de Catalunya (UPC).

As part of the Barcelona deep-tech ecosystem, we operate with ties to the UPC’s technology transfer and entrepreneurship divisions.

Our technology originated from years of computer science research at BSC and UPC and has been deployed on major European supercomputers.

Trusted by
Leading HPC Centers

Watt About? Newsletter

Your monthly guide to energy-aware HPC and AI with curated industry insights,
use cases, and practical strategies to optimize performance and power